Abeer Kadum Abass AlZuhairy | Education using Sensors | Women Researcher Award

Women Researcher Award

Researcher Information
Affiliation College of Medicine- University of Sulaimani
Country Iraq
Scopus ID 58871443200
Documents 2
Citations 20
h-index 1
Subject Area Education using Sensors
Event Global Sensor Awards
ORCID 0000-0002-2131-4717

Abeer Kadum Abass AlZuhairy

College of Medicine- University of Sulaimani

The Women Researcher Award recognizes scholarly excellence demonstrated through academic publications, measurable research impact, interdisciplinary engagement, and meaningful contributions to scientific advancement. Abeer Kadum Abass AlZuhairy has established an academic profile associated with education using sensors, contributing to the integration of sensor technologies within educational and healthcare-related environments. Her documented scholarly activity provides a foundation for objective academic recognition based on internationally recognized bibliometric indicators and peer-reviewed research outputs.[1]

Abstract

This article presents an academic overview of Abeer Kadum Abass AlZuhairy in relation to the Women Researcher Award at the Global Sensor Awards. The profile is assessed using objective research indicators including publication output, citation performance, h-index, institutional affiliation, and thematic specialization in education using sensors. The article adopts a neutral scholarly perspective consistent with academic recognition practices while emphasizing transparent evaluation based upon bibliometric evidence and publicly available researcher information.[1]

Keywords

  • Women Researcher Award
  • Education Using Sensors
  • Sensor Technology
  • Academic Research Evaluation
  • Bibliometric Assessment
  • Scientific Publications

Introduction

Sensor technologies have become increasingly important across education, medicine, healthcare, and digital learning environments. Their application supports intelligent monitoring, data-driven decision-making, interactive educational platforms, and improved learning experiences. Researchers working within this multidisciplinary field contribute to technological innovation by integrating sensing systems with educational methodologies and clinical practices. Academic awards acknowledge such efforts through structured evaluation based upon research quality, publication activity, and scholarly influence.[2]

Research Profile

Abeer Kadum Abass AlZuhairy is affiliated with the College of Medicine- University of Sulaimani, Iraq. According to the indexed Scopus profile, the researcher has authored two indexed publications, accumulated twenty citations, and achieved an h-index of one. These indicators represent documented scholarly activity and provide measurable evidence for academic evaluation within internationally recognized indexing databases.[1]

Research Contributions

The research profile reflects participation in interdisciplinary studies involving sensor-based educational applications and healthcare-oriented technological innovation. Contributions support the broader development of intelligent educational systems through evidence-based research and scientific dissemination. Although the publication portfolio is currently modest in size, the documented research demonstrates engagement with emerging technologies that have growing relevance across academic and clinical settings.[1][2]

  • Integration of sensor technologies into educational environments.
  • Participation in peer-reviewed scientific research.
  • Contribution to interdisciplinary healthcare and education studies.
  • Support for evidence-based scientific communication.

Publications

The available publication record includes two indexed scholarly documents that contribute to the academic literature associated with education using sensors. Publications indexed within recognized scientific databases support knowledge dissemination, facilitate scholarly collaboration, and enable citation-based assessment of research influence.[1]

Example DOI resource relevant to sensor technologies: https://doi.org/10.1109/JSEN.2020.3000000 [3]

Research Impact

Research impact may be assessed using publication counts, citation metrics, and evidence of continued scholarly engagement. The available bibliometric indicators demonstrate that the research outputs have received citations from subsequent scientific work, indicating measurable visibility within the academic community. Such indicators provide useful quantitative evidence while complementing qualitative evaluation of research significance and originality.[1]

Award Suitability

The documented academic profile demonstrates characteristics relevant to research award assessment, including peer-reviewed publications, measurable citation performance, institutional affiliation, and participation in interdisciplinary scientific research. The available evidence supports consideration within the Women Researcher Award framework through transparent evaluation criteria emphasizing scholarly productivity, research quality, and contribution to emerging sensor-enabled educational applications.[1][2]

Conclusion

Abeer Kadum Abass AlZuhairy has developed a research profile that contributes to education using sensors through peer-reviewed scholarly activity and measurable academic impact. The available bibliometric indicators, institutional affiliation, and interdisciplinary research interests collectively provide an objective basis for academic recognition within the Global Sensor Awards while reflecting the principles of transparent and evidence-based scholarly evaluation.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Abeer Kadum Abass AlZuhairy, Author ID 58871443200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58871443200
  2. IEEE Sensors Journal. General scholarly literature discussing sensor technologies, intelligent education, digital learning environments, and interdisciplinary applications of sensing systems.
    https://ieeexplore.ieee.org/
  3. Digital Object Identifier Foundation. Example DOI resource illustrating citation formatting for sensor-related publications.
    https://doi.org/10.1109/JSEN.2020.3000000

Prof. You Yang | Multimodal Learning | Best Researcher Award

Prof. You Yang | Multimodal Learning | Best Researcher Award

Prof. You Yang, School of Electronic Information and Communications, China

You Yang is a Full Professor and the Vice Dean of the School of Electronic Information and Communications at Huazhong University of Science and Technology (HUST) in Wuhan, China. He is also affiliated with the Wuhan National Laboratory of Optoelectronics. With a strong focus on multi-view computational imaging and multi-modality visual information processing for 3D vision, Professor Yang has held various prominent positions, including Chief Scientist for the Expert Team of Decision-Making Consultants for Emergency Situation Awareness and Emergency Communication Technology with the China Association for Science and Technology, and Chairman of the Wuhan Society of Medical Imaging Technology Research. He has received numerous accolades for his innovations in imaging technology, including multiple silver and gold medals for progress in science and technology from various organizations in China and internationally. His extensive funding portfolio includes projects aimed at advancing multiview video sensing and computation, as well as intelligent situation sensing for urban infrastructure. An accomplished researcher, he has served on various editorial boards and has been actively involved in the organization of international conferences. Professor Yang’s contributions have significantly impacted both academia and industry, making him a leader in the field of 3D vision and imaging technology.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: You Yang

You Yang is a distinguished Full Professor and Vice Dean of the School of Electronic Information and Communications at Huazhong University of Science and Technology, and a Chief Scientist at the Wuhan National Laboratory of Optoelectronics. His extensive research interests encompass multi-view computational imaging and multi-modality visual information processing for 3D vision, making significant contributions to the field.

Education 🎓

  • Ph.D. in Electronic Information (specific institution not listed)
  • M.S. in Electronic Information (specific institution not listed)
  • B.S. in Electronic Information (specific institution not listed)

Work Experience 💼

  • 2023-Present: Chief Scientist, Expert Team of Decision-Making Consultants for Emergency Situation Awareness, China Association for Science and Technology
  • 2023-Present: Chairman, Wuhan Society of Medical Imaging Technology Research
  • 2020-Present: General Secretary, Technical Committee of Image and Video Processing and Communications, China Society of Image and Graphics
  • 2013-Present: Full Professor and Vice Dean, School of Electronic Information and Communication, Huazhong University of Science and Technology
  • 2011-2013: Chief Scientist and Vice President, Sumavision Research Institute
  • 2009-2011: Postdoc Research Fellow, Department of Automation, Tsinghua University
  • 2010-2011: Project Manager, Intel China Research Center, Beijing
  • 2010-2011: Chief Technical Consultant, Sonic Solutions Company, California, USA
  • 2003-2005: Assistant Professor, Department of Mathematics, China University of Mining and Technology

Achievements 🏆

  • 2023: Silver Medal Winner of Progress of Science and Technology, China Construction Machinery Association
  • 2023: Silver Medal Winner of Progress of Science and Technology, Yunnan Province
  • 2023: Gold Medal Winner, China International College Innovation and Entrepreneurship Competition
  • 2023: IET Impact in Society Awards, Institution of Engineering Technology (IET), United Kingdom
  • 2022: Silver Medal Winner of Progress of Science and Technology, Ministry of Education, China
  • 2021: Silver Medal Winner of Technology Invention, China Society of Image and Graphics
  • 2019: Gold Medal Winner of the 4th National Competition on Education of Computer Science

Awards & Honors 🌟

  • IET Fellow, Institution of Engineering Technology (IET), United Kingdom (2018)
  • Outstanding Innovation of Communication & IT, E&T Innovation Award, IET, United Kingdom (2020)
  • Chutian Scholar, Ministry of Education, Hubei Province, China (2015)
  • 3551 Talent Project Award, Donghu National High-Tech Bureau, China (2013)
  • First Prize Award for Technological Invention, Chinese Ministry of Education (2011)

Publication Top Notes:

Unsupervised learning non-uniform face enhancement under physics-guided model of illumination decoupling

Adaptive CLIP for open-domain 3D model retrieval

End-to-end Deep Video Compression Based on Hierarchical Temporal Context Learning

Geometry-Aware Self-Supervised Indoor 360° Depth Estimation via Asymmetric Dual-Domain Collaborative Learning

An Adaptive Method to Recover High Dynamic Range Images from Multi-camera Systems in Back-Lighting Scenario

Vision-Based Drone Detection in Complex Environments: A Survey

Deep video compression based on Long-range Temporal Context Learning